Hayley Hames
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Hayley Hames' research focuses on the application of machine learning and data analysis to transportation and maritime logistics. Her recent work includes a proof-of-concept study predicting barge tow size on inland waterways using vessel trajectory data, published in 2026. She also contributed to research on utilizing declassified imagery for analytical purposes, with a publication in 2026. Hames is involved in the Transportation and Maritime Analytics Partnerships Hub, an initiative established in 2024. Her scholarly work includes a total of two publications.
Metrics
- Publications: 2
Selected Publications
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Predicting barge tow size on inland waterways using vessel trajectory-derived features: proof of concept (2026)
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Using Declassified Imagery: Issues and Approaches (2026)
Collaboration Network
Top Collaborators
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Using Declassified Imagery: Issues and Approaches
- Predicting barge tow size on inland waterways using vessel trajectory-derived features: proof of concept
- Predicting barge tow size on inland waterways using vessel trajectory-derived features: proof of concept
- Predicting barge tow size on inland waterways using vessel trajectory-derived features: proof of concept
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